Building the pipelines and models that turn raw data into decisions.
Who I Am
I'm a Data Engineer and Machine Learning specialist with an M.Sc in Data Science from the University of Surrey. I build end-to-end data systems, from ingestion and transformation to model training and deployment.
My work spans Python, SQL, and modern data platforms including AWS, Databricks, and Apache Airflow. I design ETL pipelines that are reliable, auditable, and built to scale.
I'm particularly interested in the point where data infrastructure, ML models, and AI agents intersect: systems that don't just analyse data, but act on it.
Data Engineering
ETL pipelines, orchestration, and cloud data platforms
Machine Learning & AI
Model training, NLP, deep learning, and LLM applications
AI Engineering
RAG systems, AI agents, and on-device AI with vector databases
M.Sc Data Science · University of Surrey · 2025
Guildford, United Kingdom
My Journey
Feb 2024 – Feb 2025
M.Sc Data Science (Merit, 63.42%)
University of Surrey, UK
- ›Built a Cybersecurity NER model using DeBERTa, achieving 91.88% F1-score, deployed as a FastAPI + SQLite API endpoint for CTI analysts
- ›Optimized CNNs with metaheuristic algorithms (GA, HS, FA) for image classification on CIFAR-10, improving accuracy and convergence
- ›Developed containerized web application with Flask and Docker; created predictive models for sentiment analysis and housing price prediction
- ›Certified by the EDI/University of Surrey Future Leaders Programme (Oct–Nov 2024)
Oct 2022 – Jan 2024
Data Researcher / Engineer (Freelance)
Fleet Street Research, UK
- ›Built Python data extraction pipelines, improving data acquisition efficiency by 50%
- ›Integrated MySQL + SQLite pipelines via SQLAlchemy with zero data loss
Aug 2019 – May 2023
B.E Computer Science & Engineering (Distinction, 9.5 CGPA)
SNS College of Technology, India
- ›Published research paper on Plant Disease Detection using ML
- ›Founded and ran "REGEX - CSE" club for peer learning and networking
- ›Won multiple Ideathon events and the "Centre for Creativity" Award
Feb 2022 – Apr 2022
Data Scientist Intern
Yoshops.com, India
- ›90% accurate deep learning model (VGG16) for osteoarthritis detection
- ›Automated web scraping, improving real-time pricing accuracy by 40%
Mar 2021 – Jun 2021
Data Scientist Intern
Forsk Coding School, India
- ›NLP sentiment analysis on customer reviews using transformer-based models
- ›Deployed scalable ML models on AWS via Flask API
Certifications
Featured Projects
A collection of my work across machine learning, data engineering, and AI applications
Prompt Enhancer
Chrome extension using Google's Gemini Nano AI for on-device prompt enhancement. Enhances prompts for ChatGPT, Gemini, Claude, and Perplexity instantly. Runs with 100% local processing, zero API costs, and complete privacy.
Other Projects
Technical Skills
A comprehensive toolkit spanning data science, machine learning, and software development
Programming Languages
Machine Learning & AI
Data Engineering
Cloud & DevOps
Data Visualization
Currently Expanding
Cloud Certifications
AWS & GCP certifications
MLOps & Deployment
CI/CD for ML models, experiment tracking
LLM & Agent Systems
Building AI agents, RAG pipelines, tool-augmented LLMs
Real-time Systems
Streaming data & live dashboards
Blog & Insights
Writing about AI, data, and how these tools actually work behind the scenes. Now live on Medium.
What Happens If the AI Bubble Bursts? (2026)
In 2026, Big Tech committed $725 billion to AI infrastructure — while Goldman Sachs concluded that AI’s impact on US GDP was “basically zero.” Something doesn’t add up.
Read on MediumAI in 2026: From Perceptron to Reasoning Agents
From a 1957 neuron simulation to models that write code, reason through problems, and run on your phone. The 70 years of AI progress, token compressed for you!
Read on MediumWhat Is Google Gemma? Complete History and Guide (2026)
From a 2B model you could run on your laptop to 400 million downloads and Apache 2.0 and here’s the full Gemma story.
Read on MediumFollow @pranavakailash on Medium for new posts.
Let's Connect
I'm open to roles in data engineering, machine learning, and AI. Based in the UK and available now. If you're building something that needs strong data infrastructure or applied ML, I'd like to talk.